Integrating demand and inventory planning to enhance service level: a case study in a peruvian craft beer SME
Descripción del Articulo
This study addresses the challenges of efficiency and competitiveness in a craft beer SME in Peru by proposing a service management model based on three key tools: demand forecasting, inventory policy, and supplier management. The research arises from the need to improve logistics planning in small...
| Autores: | , |
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| Formato: | tesis de grado |
| Fecha de Publicación: | 2025 |
| Institución: | Universidad de Lima |
| Repositorio: | ULIMA-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.ulima.edu.pe:20.500.12724/23703 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12724/23703 |
| Nivel de acceso: | acceso abierto |
| Materia: | Pendiente https://purl.org/pe-repo/ocde/ford#2.11.04 |
| Sumario: | This study addresses the challenges of efficiency and competitiveness in a craft beer SME in Peru by proposing a service management model based on three key tools: demand forecasting, inventory policy, and supplier management. The research arises from the need to improve logistics planning in small beverage companies, where operational challenges often limit growth. The research question posed was: How can a service management model based on logistics tools improve scheduled delivery compliance in a craft brewery? The main objective was to design and implement a model that optimizes inventory and supply chain management, thereby increasing operational efficiency. Its importance lies in addressing an academic gap in the application of logistics models in SMEs within the beverage sector in emerging contexts, contributing both to scientific knowledge and socioeconomic development. Methodologically, the study employed an applied approach with a quasi-experimental design, using a craft brewery facing specific logistical difficulties as a case study. The model’s implementation resulted in a 77% compliance rate in scheduled deliveries, representing a significant improvement in service efficiency. This outcome validates the model’s usefulness and its applicability in similar contexts, recommending its adaptation to other industries facing comparable logistical challenges. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).